Amazon Web Services Training Library
The demand for the workforce to be able to operate in the cloud is growing exponentially. Cloud Academy offers easy access to the new generation of cloud training, for professionals and enterprise. The Amazon Web Services Training Library is a hub of highly-rated resources including learning paths, courses, labs, quizzes, and exams to enable you to get the right training to put you on the right track for AWS success.
Master Your Skills!
Assess your proficiency with Smart Skills and get personalized training to skip what you already know, or start as a beginner and master your skills from the ground up.Learn smarterExplore all library
Certification Prep
697 to 720 of 1025 results
Search results 697 - 720 of 1025Category: AWS
- LEARNING PATHStuart Scott
AWS WAF - Security Pillar SEC 6 - How do you protect your compute resources?AdvancedDuration: Up to 8 hours and 38 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 6 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 8 hours and 38 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 1 Lab challenge, 4 Hands-on labs - LEARNING PATHStuart ScottUser activity and API tracking with AWS CloudTrailAdvancedDuration: Up to 4 hours and 35 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: This course shows how AWS CloudTrail enables you to track both user account activity and API usage across your AWS account to maintain governance and compliance; Duration: Up to 4 hours and 35 minutes; Content Topics: Management, Security, Monitoring; This learning path has: 2 Courses, 1 Lab challenge, 2 Hands-on labs
- LEARNING PATHStuart ScottCreate, Manage, and Control Cryptographic Keys using AWS KMSAdvancedDuration: Up to 5 hours and 41 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: This course will help you to create, manage, and control cryptographic key using AWS KMS, through on-demand courses and hands-on labs and challenges; Duration: Up to 5 hours and 41 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 4 Hands-on labs
- HANDS-ON LABQA
QA HTML/CSS/JS ExampleBeginnerDuration: Up to 2 hoursAuthor: QA; Difficulty: Beginner; Description: QA HTML/CSS/JS Example; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABQAAI Engineer L6 M1 Workshop Day 1 LabIntermediateDuration: Up to 7 hoursAuthor: QA; Difficulty: Intermediate; Description: AI Engineer L6 M1 Workshop Day 1 Lab; Duration: Up to 7 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps
- HANDS-ON LABLogan Rakai
Multicloud Networking: Securely Connecting Virtual Networks in AWS and AzureBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to securely connect virtual networks in AWS and Azure in this multicloud lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Networking; This hands-on lab has: 8 Lab steps - HANDS-ON LABAndrew Burchill
Tracking Generative AI Usage With Amazon Bedrock Inference ProfilesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LAB CHALLENGEJun Fritz
AWS Glue ChallengeBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Put your knowledge of AWS Glue to the test by configuring a data integration solution in this hands-on lab challenge.; Duration: Up to 45 minutes; Content Topics: Analytics; This lab challenge has: 1 Lab step - HANDS-ON LABJun FritzBuilding a Generative AI Workflow With Amazon Bedrock FlowsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps
- HANDS-ON LABAndrew BurchillImplementing an ETL Pipeline with AWS SDK for PandasBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzDeveloping Prompts With Amazon Bedrock Prompt ManagementBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABMark Secrist
Building a Python Client for Amazon DynamoDBIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Mark Secrist; Difficulty: Intermediate; Description: Creating a Python client for Amazon DynamoDB; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LAB CHALLENGEJun FritzAmazon Bedrock Guardrails ChallengeBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Put your Amazon Bedrock knowledge to the test by configuring guardrails for a fictional company in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This lab challenge has: 1 Lab step
- HANDS-ON LABJun FritzGenerating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps
- HANDS-ON LABJun FritzImplementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzWorking With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDeveloping Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillPerforming Data Quality Checks Using an Amazon Athena NotebookBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzFormatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillUsing Amazon DocumentDB to Store and Search Vector DataBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps
- HANDS-ON LABAndrew BurchillPlanning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzAutomating Translations With Amazon Translate and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to use Amazon Translate and AWS Lambda to translate text and documents in real-time in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzImproving Data Resiliency With Amazon S3 Cross-Region ReplicationBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to replicate Amazon S3 objects across AWS regions to improve data resiliency in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJeremy Cook
Configuring ECS Tasks with EBS Block Storage VolumesIntermediateDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab, participants will learn how to configure Amazon Elastic Container Service (ECS) tasks to use Amazon Elastic Block Store (EBS) to provide block storage-based storage volumes.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps